Skip to main content

This repository contains code to run faster sentence-transformers using tools like quantization, ONNX and pruning.

Project description

Fast Sentence Transformers

This repository contains code to run faster sentence-transformers using tools like quantization and ONNX. Just run your model much faster, while a lot of memory. There is not much to it!

Python package Current Release Version pypi Version PyPi downloads Code style: black

Quickstart

from fast_sentence_transformers import FastSentenceTransformer as SentenceTransformer

# use any sentence-transformer
encoder = SentenceTransformer("all-MiniLM-L6-v2", device="cpu", quantize=True)

encoder.encode("Hello hello, hey, hello hello")
encoder.encode(["Life is too short to eat bad food!"] * 2)

Benchmark

Indicative benchmark for CPU usage with smallest and largest model on sentence-transformers. Note, ONNX doesn't have GPU support for quantization yet.

model Type default ONNX ONNX+quantized ONNX+GPU
paraphrase-albert-small-v2 memory 1x 1x 1x 1x
speed 1x 2x 5x 20x
paraphrase-multilingual-mpnet-base-v2 memory 1x 1x 4x 4x
speed 1x 2x 5x 20x

Shout-Out

This package heavily leans on sentence-transformers and txtai.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fast-sentence-transformers-0.3.1.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file fast-sentence-transformers-0.3.1.tar.gz.

File metadata

File hashes

Hashes for fast-sentence-transformers-0.3.1.tar.gz
Algorithm Hash digest
SHA256 131d1cee9fc23d363bd6a26fa838542e20d00795a74939ccbcfee26bbff7517b
MD5 bc656add815dcf44faa84740c6fa60a9
BLAKE2b-256 b369b89b9483cdf19047c55554a49c67a54ee40fe7d32655e2e29248a34afe59

See more details on using hashes here.

File details

Details for the file fast_sentence_transformers-0.3.1-py3-none-any.whl.

File metadata

File hashes

Hashes for fast_sentence_transformers-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a82933f00694f3e57d69ac136e54c4a7c6d4793bbb165c843f315a69df9b915a
MD5 61f06070782dc853be4d12f1a303ed8e
BLAKE2b-256 2017bca7f0345d2ef98f5e210f6504591b03bc57f0c933325784d708892d4f15

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page